Datacircle

Most accurate phone validation API in 2026

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Data8, NeuralVerge and Abstract API are the most accurate phone validation API providers in our benchmark. We rank the 24 providers we score by their Data score alone: how often the API gives the right answer. Each line shows the provider's plan with the top Data score and that plan's Overall score. Each line also shows what 1,000 phones cost, when we know the price.

Every phone validation API provider we score, ranked by Data score

  1. Data8, £60 pack, 1,000 credits: Data score 89, Overall score 53.5, $80.01 per 1,000 phones
  2. NeuralVerge, $50 monthly: Data score 87, Overall score 49.1
  3. Abstract API, $19 monthly, Starter, 5,000 requests / month: Data score 86, Overall score 62.4, $3.80 per 1,000 phones
  4. Data247, $12 pack, Membership: Data score 85, Overall score 66.7
  5. HLR Lookups, top-up, 1 - 1M: Data score 79, Overall score 57.6, $11.25 per 1,000 phones
  6. Zadarma, top-up: Data score 79, Overall score 55.4, $7.00 per 1,000 phones
  7. seven.io, top-up, Prepaid balance: Data score 79, Overall score 54.2, $11.25 per 1,000 phones
  8. Listar, top-up from €10, Starter: Data score 73, Overall score 59.4, $22.51 per 1,000 phones
  9. ProWebLook, $320 monthly, WhatsApp Monthly 100K: Data score 73, Overall score 48.6, $3.20 per 1,000 phones
  10. CallerAPI, $25 monthly, Basic: Data score 66, Overall score 54.2, $5.00 per 1,000 phones
  11. HLR Lookup, £12.50 pack, 2,500 lookups: Data score 66, Overall score 48.3, $26.67 per 1,000 phones
  12. Byteplant, $49.99 pack: Data score 64, Overall score 37.7, $49.99 per 1,000 phones
  13. Dexatel, pay as you go, Up to 500K lookups: Data score 53, Overall score 46.0, $6.00 per 1,000 phones
  14. Trestle, top-up from $10, Self-Serve, pay as you go: Data score 47, Overall score 37.9, $20.00 per 1,000 phones
  15. APILayer, $14.99 monthly, Starter: Data score 0, Overall score 0.0, $3.00 per 1,000 phones. We give it 0 overall because its Data score is 0.
  16. BigDataCloud, $9.95 monthly, Bronze: Data score 0, Overall score 0.0, $0.995 per 1,000 phones. We give it 0 overall because its Data score is 0.
  17. Botoi, $9 monthly: Data score 0, Overall score 0.0, $0.03 per 1,000 phones. We give it 0 overall because its Data score is 0.
  18. ContactLint, $9 pack: Data score 0, Overall score 0.0, $1.80 per 1,000 phones. We give it 0 overall because its Data score is 0.
  19. Didit, top-up from $50: Data score 0, Overall score 0.0. We give it 0 overall because its Data score is 0.
  20. Loqate, £50 pack: Data score 0, Overall score 0.0, $94.68 per 1,000 phones. We give it 0 overall because its Data score is 0.
  21. Neutrino API, pay as you go, On-Demand: Data score 0, Overall score 0.0, $0.08 per 1,000 phones. We give it 0 overall because its Data score is 0.
  22. ReefAPI, $15 monthly, Pro monthly: Data score 0, Overall score 0.0, $1.50 per 1,000 phones. We give it 0 overall because its Data score is 0.
  23. Strale, top-up from €10: Data score 0, Overall score 0.0, $22.51 per 1,000 phones. We give it 0 overall because its Data score is 0.
  24. Veriphone, $24 pack, 10,000 credits: Data score 0, Overall score 0.0, $2.40 per 1,000 phones. We give it 0 overall because its Data score is 0.

The Data score on phone validation APIs

How often the call judges a number right, out of 100: valid when it is real, invalid when it is fictional. Real numbers count for half the score and fictional numbers for the other half. A call scores 0 if it calls no fictional number invalid. It also scores 0 if it calls no real number valid. A call that never checks whether the number is in use scores 0. The digits alone show which numbers are fictional. A refused call counts as not right. Some providers ran on only part of the numbers. We compare each such provider with the providers that ran on all the numbers, using only the numbers that provider ran on. That way, easy numbers can't raise its score. We don't compare a provider with a call that scores 0. A call that scores 0 tells us nothing about which numbers are hard. When no provider ran on all the numbers, we score each provider on the numbers it ran on. We score a provider on every call we made to it for a number, so one run can't decide its score. We lower the score when we test the call on fewer numbers than the benchmark has.

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